Abstract
Background and Purpose
Spinal cord stimulation (SCS) is approved by the Food and Drug Administration for treating chronic intractable pain in the back, trunk, or limbs through stimulation of the dorsal column. Numerous studies have used swine as an analog of the human spinal cord to better understand SCS and further improve its efficacy. We performed high-resolution imaging of the porcine spinal cord with intact dura mater using micro-computed tomography (μCT) to construct detailed 3-dimensional (3D) visualizations of the spinal cord and characterize the morphology of the dorsal and ventral rootlets.
Methods
We obtained spinal cords from Yorkshire/Landrace crossbred swine (N = 7), stained samples with osmium tetroxide, and performed μCT imaging of the T12-T15 levels at isotropic voxel resolutions ranging from 3.3 to 50 μm. We measured the anatomical morphology using the 3D volumes and compared our results to measurements previously collected from swine and human spinal cords via microdissection techniques in prior literature.
Results
While the porcine thoracic-lumbar spinal cord is a popular model for SCS, we highlight multiple notable differences compared to previously published T8-T12 human measurements including rootlet counts (porcine dorsal/ventral: 12.2 ± 2.6, 26.6 ± 3.4; human dorsal/ventral: 5.3 ± 1.3, 4.4 ± 2.4), rootlet angles (porcine ventral-rostral: 161 ± 1°, ventral-caudal: 155 ± 6°, dorsal-rostral: 148 ± 9°, dorsal-caudal: 142 ± 6°; human ventral-rostral: 170 ± 3°, ventral-caudal: 22 ± 10°, dorsal-rostral: 171 ± 3°, dorsal-caudal: 15 ± 7°), and the presence and count of dorsal rootlet bundles.
Conclusions
Detailed measurements and highlighted differences between human and porcine spinal cords can inform variations in modeling and electrophysiological experiments between the two species. In contrast to other approaches for measuring the spinal cord and rootlet morphology, our method keeps the dura intact, reducing potential artifacts from dissection.
If you do not see content above, kindly GO TO SOURCE.
Not all publishers encode content in a way that enables republishing at Neuro.vip.
This post is Copyright: Justin Chin,
Megan L. Settell,
Meagan K. Brucker‐Hahn,
Daniel Lust,
Jichu Zhang,
Aniruddha R. Upadhye,
Bruce Knudsen,
Ashlesha Deshmukh,
Kip A. Ludwig,
Igor A. Lavrov,
Andrew R. Crofton,
Scott F. Lempka,
Mingming Zhang,
Andrew J. Shoffstall | October 11, 2024
Wiley: Journal of Neuroimaging: Table of Contents